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. 2017 Jun;10(4):165–174.

Table 3.

Patient Clinical Characteristics Measured During 12-Month Baseline Period

Clinical characteristics Propensity score matched Unmatched
Patients using sulfonylurea (N = 13,657) Patients using SGLT-2 inhibitor (N = 13,657) Standardized difference for matched cohorts, % Patients using sulfonylurea (N = 25,490) Patients using SGLT-2 inhibitor (N = 17,724) P value for unmatched cohorts
Deyo-Charlson Comorbidity Index, mean (SD) 1.7 (1.3) 1.7 (1.3) 2.560 2.0 (1.6) 1.7 (1.3) <.001
Adapted Diabetes Complications Severity Index, mean (SD) 0.7 (1.2) 0.7 (1.2) 2.115 0.9 (1.5) 0.7 (1.2) <.001
Number of unique 3-digit ICD-9-CM diagnosis codes,a mean (SD) 10.7 (7.0) 10.8 (6.8) 1.549 11.3 (8.0) 10.9 (6.8) <.001
Number of unique NDC codes, mean (SD) 12.5 (8.4) 12.7 (7.9) 2.994 11.5 (8.3) 13.6 (8.2) <.001
Total healthcare expenditures, mean (SD) $12,295 ($23,921) $12,824 ($23,580) 2.228 $15,096 ($38,103) $13,670 ($22,526) <.001
Endocrinologist visit 10.2% 12.2% 6.439 6.6% 17.3% <.001
Microvascular complications of diabetes 16.3% 17.4% 2.939 18.0% 19.1% <.001
  Diabetic nephropathy 3.2% 3.5% 1.604 4.5% 3.7% <.001
  Diabetic retinopathy 6.5% 7.0% 2.076 6.8% 7.9% <.001
  Diabetic peripheral neuropathy 9.0% 9.6% 1.860 9.5% 10.6% <.001
Macrovascular complications of diabetes 14.3% 14.6% 0.881 20.7% 14.6% <.001
  Atherosclerosis 11.3% 11.5% 0.535 16.0% 11.7% <.001
  Stroke 1.1% 1.1% 0.191 2.3% 1.0% <.001
  Myocardial infarction 0.8% 0.8% 0.110 1.6% 0.8% <.001
  Unstable angina pectoris 0.9% 0.8% 0.433 1.4% 0.7% <.001
  Heart failure 2.2% 2.3% 0.674 4.9% 2.1% <.001
  Percutaneous coronary intervention 0.9% 0.8% 0.887 1.2% 0.7% <.001
  Coronary artery bypass graft 0.3% 0.2% 0.835 0.4% 0.2% <.001
  Peripheral vascular disease 2.4% 2.6% 1.213 4.0% 2.5% <.001
Other comorbidities
  Renal impairment 6.4% 6.8% 1.974 11.4% 6.5% <.001
  Hypertension 76.3% 76.5% 0.518 76.8% 77.3% .223
  Dyslipidemia 79.2% 79.5% 0.716 75.1% 81.6% <.001
  Depression 8.5% 8.4% 0.288 8.1% 8.7% .028
  Hypoglycemia 2.9% 3.1% 1.182 3.1% 3.2% .347
  Proteinuria 1.9% 1.9% 0.439 2.0% 2.0% .706
Antihypertensive medications
  Renin-angiotensin system antagonists 65.6% 65.8% 0.421 60.6% 68.4% <.001
    ACE inhibitors 42.5% 42.0% 0.850 40.7% 43.0% <.001
    ARBs 25.7% 26.4% 1.504 22.1% 28.3% <.001
    Direct renin inhibitors 0.2% 0.2% 0.000 0.1% 0.2% .227
  Diuretics 35.4% 35.5% 0.272 35.0% 36.3% .006
  Other antihypertensives 34.8% 34.9% 0.294 37.9% 35.0% <.001
Number of antidiabetes medication classes, mean (SD) 1.2 (0.8) 1.3 (0.8) 7.250 1.0 (0.7) 1.5 (0.9) <.001
Antidiabetes medication use in baseline period
  Alpha-glucosidase inhibitors 0.3% 0.2% 0.409 0.2% 0.3% .104
  Metformin 75.4% 74.7% 1.595 65.1% 76.5% <.001
  DPP-4 inhibitors 26.5% 28.0% 3.392 18.3% 30.9% <.001
  Meglitinides 1.0% 1.1% 0.391 0.8% 1.4% <.001
  TZDs 5.7% 6.0% 1.579 4.1% 7.6% <.001
  Insulins 14.8% 17.8% 8.026 9.4% 26.9% <.001
  GLP-1 receptor agonists 7.8% 10.4% 8.840 4.4% 17.7% <.001
  Amylin analogs 0.0% 0.1% 4.474 0.0% 0.1% <.001
Concurrent antidiabetes medication use
  Alpha-glucosidase inhibitors 0.0% 0.0% 0.856 0.0% 0.0% .706
  Metformin 78.4% 77.2% 3.083 77.1% 75.5% <.001
  DPP-4 inhibitors 5.8% 6.3% 2.033 4.0% 7.0% <.001
  Meglitinides 0.3% 0.3% 0.549 0.2% 0.3% .066
  TZDs 1.4% 1.6% 1.438 1.0% 2.2% <.001
  Insulins 2.9% 4.0% 5.985 1.8% 7.3% <.001
  GLP-1 receptor agonists 1.2% 1.9% 5.466 0.7% 3.2% <.001
  Amylin analogs 0.0% 0.0% 0.0% 0.0% .168
Any mail-order prescriptionb 13.0% 13.1% 0.326 17.3% 12.5% <.001
a

The baseline period for all patients occurred before the implementation of the International Classification of Diseases, Tenth Revision coding.

b

Mail-order prescription was measured during the follow-up period.

ACE indicates angiotensin-converting enzyme; ARB, angiotensin receptor blocker; DPP-4, dipeptidyl peptidase-4; GLP-1, glucagon-like peptide-1; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; NDC, National Drug Code; SD, standard deviation; SGLT-2, sodium-glucose cotransporter 2; TZD, thiazolidinedione.